• DocumentCode
    2439870
  • Title

    A statistical test for stream ciphers based on the maximum order complexity

  • Author

    Kasselman, P.R.

  • Author_Institution
    Ciphertec cc, South Africa
  • fYear
    1998
  • fDate
    7-8 Sep 1998
  • Firstpage
    213
  • Lastpage
    218
  • Abstract
    The maximum order complexity determines the shortest feedback shift register which can generate a given sequence utilising a memoryless, possibly non-linear, feedback function. The maximum order complexity of a sequence is a potentially useful measure of the randomness of 8 sequence. In this paper a statistical test based on the maximum order complexity is proposed. The proposed test requires that the distribution of the maximum order complexity of a random sequence of arbitrary length is known. Erdmann and Murphy (1997) derived an expression which approximates the distribution of the maximum order complexity. Evaluating this expression is computationally expensive and an alternative approximation to the distribution of the maximum order complexity is proposed. The alternative approximation is then used to construct a computationally efficient statistical test which may be used to evaluate the randomness of a sequence. The proposed test is specifically concerned with binary sequences and the distribution of the maximum order complexity of binary sequences
  • Keywords
    binary sequences; circuit feedback; computational complexity; cryptography; gamma distribution; shift registers; statistical analysis; binary sequences; computationally efficient statistical test; gamma distribution; maximum order complexity; memoryless feedback function; non-linear feedback function; random sequence; secret key cryptography; shortest feedback shift register; statistical test; stream ciphers; Binary sequences; Delay; Distributed computing; Feedback; Public key; Public key cryptography; Random sequences; Security; Shift registers; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Signal Processing, 1998. COMSIG '98. Proceedings of the 1998 South African Symposium on
  • Conference_Location
    Rondebosch
  • Print_ISBN
    0-7803-5054-5
  • Type

    conf

  • DOI
    10.1109/COMSIG.1998.736951
  • Filename
    736951